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Unlocking Perceived Algorithmic Autonomy-Support: Scale Development and Validation
Open accessAbstract
Platform workers' autonomy and agency are recurring themes in the study of the gig-economy where narratives purporting workers' autonomy and empowerment conflict with those alleging the control and marginalization of workers.While it has been said that promoting workers' agency can threaten the valuation of platform-based companies, the benefits of supporting workers' autonomy in traditional organizations are well-established.To understand such inconsistencies, it is necessary to measure perceptions of autonomysupport; yet, no validated instruments exist that can be used to measure workers' perceptions of algorithmic autonomy-support.To address this gap, we draw on the Theory of Self-Determination to reconceptualize the notion of autonomy-support for the technoorganizational phenomenon of algorithmically managed platform work.In doing so, we introduce a new construct, namely: Perceived Algorithmic Autonomy Support (PAAS).In this work-in-progress paper, we describe our current work in developing and validating a theoretically-based measure for PAAS.Preliminary results are provided.
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“This took several forms which had in common constraints on gig workers' daily work routines originating in the ' operational choices embedded within a platform's architecture [that] implicitly shape platform workers' autonomy such that platforms can be either autonomy supportive or controlling ' (Jabagi et al., 2021, p. 6494).”
From Socio‐technical issues in the platform‐mediated gig economy: A systematic literature review: An Annual Review of Information Science and Technology (ARIST) paper (2024) · cites this paper as Jabagi et al., 2021
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Metadata
- Authors
- Jabagi, N., Croteau, A.-M., Audebrand, L., & Marsan, J.
- Affiliations
- Concordia University (CA)
- Université Laval (CA)
- Venue
- Proceedings of the Annual Hawaii International Conference on System Sciences
- Published
- 2021
- ISSN
- 1530-1605 (ISSN-L)
- 2572-6862
- OpenAlex
- W3126396339
- Cited by
- 9
- References
- 31
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5
- FWCI
- 3.33
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Hawaii International Conference on System Sciences (HICSS) (publishedVersion, cc-by-nc-nd)
- ScholarSpace (University of Hawaii at Manoa) (submittedVersion, cc-by-nc-nd)
- Journal of the Association for Information Systems (submittedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- algorithmic management, platform work, gig economy, employee autonomy, self-determination theory, scale development, measurement instrument validation, worker agency
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